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Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Energy Efficient Wireless Sensor Networks Using
Linear-Programming Optimization of the
Communication Schedule
Abstract
This paper builds on a recent method, chain routing with even energy consumption (CREEC), for
designing a wireless sensor network with chain topology and for scheduling the communication
to ensure even average energy consumption in the network. In here a new suboptimal design is
proposed and compared with the CREEC design. The chain topology in CREEC is reconfigured
after each group of n converge-casts with the goal of making the energy consumption along the
new paths between the nodes in the chain as even as possible. The new method described in this
paper designs a single near-optimal Hamiltonian circuit, used to obtain multiple chains having
only the terminal nodes different at different converge-casts. The advantage of the new scheme is
that for the whole life of the network most of the communication takes place between same pairs
of nodes, therefore keeping topology reconfigurations at a minimum. The optimal scheduling of
the communication between the network and base station in order to maximize network lifetime,
given the chosen minimum length circuit, becomes a simple linear programming problem which
needs to be solved only once, at the initialization stage. The maximum lifetime obtained when
using any combination of chains is shown to be upper bounded by the solution of a suitable
linear programming problem. The upper bounds show that the proposed method provides near-
optimal solutions for several wireless sensor network parameter sets.
SYSTEM SPECIFICATION
Software Specification
Operating system : Linux (Ubuntu)
Software : Network Simulator 2.35
Programming languages : Tool Command Language, AWK, C++
Hardware Specification
Main processor : Dual Core
Hard disk capacity : 80GB
Cache memory : 2 GB
PROJECT FLOW:
First Review:
Literature Survey
Paper Explanation
Design of Project
Project Enhancement explanation
Second Review:
Implementing 40% of Base Paper
Third Review
Implementing Remaining 60% of Base Paper with Future Enhancement (Modification)
For More Details please contact
Logic Mind Technologies
Vijayangar (NearMaruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Mail: logicmindtech@gmail.com

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Energy efficient wireless sensor networks using linear programming optimization of the communication schedule

  • 1. Logic Mind Technologies Vijayangar (Near Maruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Energy Efficient Wireless Sensor Networks Using Linear-Programming Optimization of the Communication Schedule Abstract This paper builds on a recent method, chain routing with even energy consumption (CREEC), for designing a wireless sensor network with chain topology and for scheduling the communication to ensure even average energy consumption in the network. In here a new suboptimal design is proposed and compared with the CREEC design. The chain topology in CREEC is reconfigured after each group of n converge-casts with the goal of making the energy consumption along the new paths between the nodes in the chain as even as possible. The new method described in this paper designs a single near-optimal Hamiltonian circuit, used to obtain multiple chains having only the terminal nodes different at different converge-casts. The advantage of the new scheme is that for the whole life of the network most of the communication takes place between same pairs of nodes, therefore keeping topology reconfigurations at a minimum. The optimal scheduling of the communication between the network and base station in order to maximize network lifetime, given the chosen minimum length circuit, becomes a simple linear programming problem which needs to be solved only once, at the initialization stage. The maximum lifetime obtained when using any combination of chains is shown to be upper bounded by the solution of a suitable linear programming problem. The upper bounds show that the proposed method provides near- optimal solutions for several wireless sensor network parameter sets.
  • 2. SYSTEM SPECIFICATION Software Specification Operating system : Linux (Ubuntu) Software : Network Simulator 2.35 Programming languages : Tool Command Language, AWK, C++ Hardware Specification Main processor : Dual Core Hard disk capacity : 80GB Cache memory : 2 GB PROJECT FLOW: First Review: Literature Survey Paper Explanation Design of Project Project Enhancement explanation Second Review: Implementing 40% of Base Paper Third Review Implementing Remaining 60% of Base Paper with Future Enhancement (Modification) For More Details please contact Logic Mind Technologies Vijayangar (NearMaruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Mail: logicmindtech@gmail.com